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Competition in today’s global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform. Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.
This book contains contributions from the international conference “Engineering Innovations and Sustainable Development,” organized by three Russian universities on June 17–18, 2021. By presenting international research on various sustainability issues, it includes topics such as current trends in industrial and agricultural development, innovations in the construction and transport sectors, problems concerning the financing of innovative activities and governmental support for innovations, and engineering competences and skills in the era of new technologies. It also covers the economic, environmental, and informational aspects of sustainable development in the context of innovations. Finally, the book addresses theoretical and practical aspects by studying the phenomenon of sustainability and engineering development in terms of comparing international experiences. It provides significant value for scientists, teachers, and students of higher educational institutions, and specialists, who are researching sustainable development issues in the era of engineering innovations.
The transformation of green investment and climate finance by blockchain establishes the relationship between global efforts for climate adaptation and this innovative technology. The benefit of blockchain in the financial sector is realized as it has brought various operational changes such as smart contracts, changes in regulation and governance, changes in transactions, and more. In every situation, sustainable development goals (SDGs) must be accomplished with the help of society’s collective creativity, knowledge, technology, and financial resources. Perspectives on Blockchain Technology and Responsible Investing highlights the applications of blockchain technologies to foster sustainable development in different fields. The book details a number of significant characteristics and concerns regarding blockchain, finance, and sustainability that every manufacturer, policymaker, or academician may have. Covering topics such as banking, performance, and smart contracts, this premier reference source is an essential resource for entrepreneurs, practitioners, professionals, business leaders, policymakers, students and educators of higher education, researchers, and academicians.
The financial services sector experiences millions of transactions representing billions of dollars every day, with security, transparency, and cost-efficiency being top priorities. Blockchain usage is increasing in the financial services sector; it is a breakthrough that has changed the global financial system, making it safer and more efficient. Revolutionizing Financial Services and Markets Through FinTech and Blockchain explores the application of blockchain technology within financial services and financial markets. Covering topics such as blockchain technology, e-finance applications, and financial product innovation, this book is ideal for academicians, investment institutions, asset management professionals, consultants, and more.
In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.
In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.
Since mobile devices, especially Chinese learning apps, have been leveraged to assist learning, many recorded and unrecorded efforts have been taken to enhance the mobile experience in learning Chinese around the world. To facilitate knowledge transfer and exchange between learners and instructors of Chinese, further efforts to compare mobile experience in learning Chinese among different age groups and cultures must be considered. Applying Mobile Technologies to Chinese Language Learning shares a variety of knowledge and skills on how to best leverage features and functions of mobile devices to enhance the mobile experience in learning Chinese. Additionally, it compares similarities and differences in mobile experience and provides a thorough overview to describe, explain, and predict these experiences in learning Chinese. Covering topics such as language learning apps, authentic language use, and mobile experiences, it is ideal for instructors, academicians, researchers, students, and practitioners.
Technologies in today’s society are rapidly developing at a pace that is challenging to stay up to date with. As an increasing number of global regions are implementing smart methods and strategies for sustainable development, they are continually searching for modern advancements within computer science, sensor networks, software engineering, and smart technologies. A compilation of research is needed that displays current applications of computing methodologies in the progression of global cities and how smart technologies are being utilized. Sensor Network Methodologies for Smart Applications is a collection of innovative research on the methods of intelligent systems and technologies and their various applications within sustainable development practices. While highlighting topics including machine learning, network security, and optimization algorithms, this book is ideally designed for researchers, scientists, developers, programmers, engineers, educators, policymakers, geographers, planners, and students seeking current research on smart technologies and sensor networks.
In today's rapidly evolving landscape, AI has become an indispensable tool for organizations seeking to enhance their understanding of customers, boost productivity, and foster stronger connections with their target audience. The Use of Artificial Intelligence in Digital Marketing: Competitive Strategies and Tactics is a comprehensive and timely exploration of the integration of artificial intelligence (AI) into the field of digital marketing. Authored by experts in the field, this book delves into the profound and far-reaching changes that AI is bringing to the digital marketing arena. It provides a detailed examination of how organizations can leverage AI technologies to gain a competitive edge in the market. By mastering these new technologies, companies can effectively navigate the dynamic digital landscape, optimize their marketing strategies, and deliver highly personalized content to their customers. Ideal for a wide range of audiences, including researchers, teachers, students, and executives, this book serves as a vital resource for those seeking to stay ahead of the curve in the ever-evolving world of digital marketing. Through its comprehensive coverage of AI applications in the field, it equips readers with the knowledge and insights necessary to make informed decisions, develop effective marketing strategies, and drive business growth.
The research surrounding artificial intelligence (AI) is vast and quite diverse in both its applied and theoretical fields. AI tools and techniques, such as machine learning, data mining, neural networks, and advanced analytics, are evolving at a high speed, creating a consistent need for updated research. This is especially relevant with frequent developments for the application of AI technology in many science and industry sectors. This rapid expansion created a need for research that focuses on the questions surrounding the development of AI such as ethical issues, responsible AI methods and applications, and its widespread implementation. Within the answers to these questions is the prevailing notion that AI should be accountable, explainable, transparent, and fair for all organizations and individuals. Responsible AI and Ethical Issues for Businesses and Governments widens the understanding of AI outside of the “narrow” technical perspective to a broader viewpoint that embraces the links between AI theory, practice, and policy. The chapters in this book discuss the basic philosophical and conceptual foundations of AI and explores the responsible application of AI tools and methods, the moral aspects of AI, practical issues, and responsible AI implementation across a range of industries. While highlighting topics that include digital transformation, ethical competence, information literacy in AI, and the interaction between AI and humans, this book is ideally designed for IT specialists, technology developers, technologists, ethicists, practitioners, stakeholders, academicians, students, and researchers who are interested in learning more about the ethical and responsible use of AI.